Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values

Zhenquan Lin, Kailing Guo, Xiaofen Xing +1

To obtain good performance, convolutional neural networks are usually over-parameterized. This phenomenon has stimulated two interesting topics: pruning the unimportant weights for…